Michael P. Weisend

3.9k citations
64 papers · 3.0k indexed · h-index 34

Michael P. Weisend

62 papers receiving 2.9k citations

Peers

Michael P. Weisend
Comparison fields: 5 of 119
  • Cognitive Neuroscience 2.2k
  • Neurology 434
  • Cellular and Molecular Neuroscience 552
  • Sensory Systems 124
  • Psychiatry and Mental health 363
Replace Mingxiong Huang with:
Mingxiong Huang United States
Holly Bridge United Kingdom
Jinhu Xiong United States
David P. Crewther Australia
J. Christopher Edgar United States
Daniel S. Barth United States
T Trinath Germany
Elizabeth W. Pang Canada
J Pauls Germany
John Zempel United States
Michael P. Weisend relative to Mingxiong Huang United States Mingxiong Huang's profile →
Citations per field
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Mingxiong Huang · 1×
Citations per year

Countries citing papers authored by Michael P. Weisend

Since Specialization
Citations

This map shows the geographic impact of Michael P. Weisend's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael P. Weisend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Weisend more than expected).

Fields of papers citing papers by Michael P. Weisend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Weisend. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael P. Weisend. The network helps show where Michael P. Weisend may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael P. Weisend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael P. Weisend Line = papers co-authored together Michael P. Weisend links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 201840
3 201512
4 201328
5 201248
6 20106
7 200779
8 200637
9 200625
10 200527
11 200425
12 200472
13 200336
14 200339
15 200367
16 200364
17 200056
18 200019
19
An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task
199911
20 199366

About Michael P. Weisend

Michael P. Weisend is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Functional Brain Connectivity Studies (19 papers), EEG and Brain-Computer Interfaces (15 papers), Memory and Neural Mechanisms (13 papers), Neuroscience and Music Perception (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Advanced MRI Techniques and Applications (9 papers) and Transcranial Magnetic Stimulation Studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Neurology (434 citations) and Cellular and Molecular Neuroscience (552 citations). Michael P. Weisend has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Peter Schwindt, Mingxiong Huang, J. Christopher Edgar, Cort Johnson, Robert J. Thoma, José M. Cañive, Robert J. Sutherland, Gregory A. Miller, Kim Paulson and Sandra N. Moses. Their work appears in journals such as Applied Physics Letters, PLoS ONE and NeuroImage.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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